Pandas Profiling Report

Dataset statistics

Number of variables	29
Number of observations	19955
Missing cells	48218
Missing cells (%)	8.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	4.4 MiB
Average record size in memory	232.0 B

Variable types

Categorical	16
DateTime	2
Numeric	10
Text	1

Alerts

`SATISFACTION` has 4084 (20.5%) missing values	Missing
`COMMUNICATION` has 4020 (20.1%) missing values	Missing
`GOALS` has 3833 (19.2%) missing values	Missing
`DELIVERABLES` has 4083 (20.5%) missing values	Missing
`TIMELINESS` has 3986 (20.0%) missing values	Missing
`CHALLENGES` has 4154 (20.8%) missing values	Missing
`PROJECTMANAGEMENT` has 4155 (20.8%) missing values	Missing
`SUPPORT` has 3917 (19.6%) missing values	Missing
`IMPROVEMENT` has 15986 (80.1%) missing values	Missing

Reproduction

Analysis started	2024-04-16 12:11:04.833635
Analysis finished	2024-04-16 12:11:21.002616
Duration	16.17 seconds
Software version	ydata-profiling vv4.7.0
Download configuration	config.json

PROJECTASSIGNED
Categorical

Distinct	20
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.0 KiB

Cox-Hays Solution	1113
White LLC Initiative	1109
Miller LLC Initiative	1091
Robinson and Sons Project	1072
Hicks and Sons Initiative	1063
Other values (15)	14507

Length

Max length	38
Median length	32
Mean length	24.661188
Min length	17

Characters and Unicode

Total characters	492114
Distinct characters	45
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Washington-Little Initiative
2nd row	Neal PLC Initiative
3rd row	Neal PLC Initiative
4th row	Washington-Little Initiative
5th row	Washington-Little Initiative

Common Values

Value	Count	Frequency (%)
Cox-Hays Solution	1113	5.6%
White LLC Initiative	1109	5.6%
Miller LLC Initiative	1091	5.5%
Robinson and Sons Project	1072	5.4%
Hicks and Sons Initiative	1063	5.3%
Neal PLC Initiative	1045	5.2%
Willis Ltd Solution	1040	5.2%
Jenkins-Johnson Initiative	1016	5.1%
Villarreal-Flynn Project	1008	5.1%
Johnson, Roth and Ray Initiative	1007	5.0%
Other values (10)	9391	47.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
initiative	9991	16.1%
and	5994	9.7%
project	5923	9.6%
solution	4041	6.5%
llc	2200	3.5%
sons	2135	3.4%
miller	2091	3.4%
cox-hays	1113	1.8%
white	1109	1.8%
robinson	1072	1.7%
Other values (27)	26330	42.5%

Most occurring characters

Value	Count	Frequency (%)
i	52020	10.6%
n	46282	9.4%
	42044	8.5%
t	38704	7.9%
o	33690	6.8%
a	33319	6.8%
e	30585	6.2%
l	21589	4.4%
r	20471	4.2%
s	16905	3.4%
Other values (35)	156505	31.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	492114	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	52020	10.6%
n	46282	9.4%
	42044	8.5%
t	38704	7.9%
o	33690	6.8%
a	33319	6.8%
e	30585	6.2%
l	21589	4.4%
r	20471	4.2%
s	16905	3.4%
Other values (35)	156505	31.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	492114	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	52020	10.6%
n	46282	9.4%
	42044	8.5%
t	38704	7.9%
o	33690	6.8%
a	33319	6.8%
e	30585	6.2%
l	21589	4.4%
r	20471	4.2%
s	16905	3.4%
Other values (35)	156505	31.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	492114	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	52020	10.6%
n	46282	9.4%
	42044	8.5%
t	38704	7.9%
o	33690	6.8%
a	33319	6.8%
e	30585	6.2%
l	21589	4.4%
r	20471	4.2%
s	16905	3.4%
Other values (35)	156505	31.8%

SATISFACTION
Categorical

MISSING

Distinct	5
Distinct (%)	< 0.1%
Missing	4084
Missing (%)	20.5%
Memory size	156.0 KiB

2.0	3329
4.0	3280
5.0	3157
3.0	3082
1.0	3023

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	47613
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	2.0
3rd row	1.0
4th row	4.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
2.0	3329	16.7%
4.0	3280	16.4%
5.0	3157	15.8%
3.0	3082	15.4%
1.0	3023	15.1%
(Missing)	4084	20.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2.0	3329	21.0%
4.0	3280	20.7%
5.0	3157	19.9%
3.0	3082	19.4%
1.0	3023	19.0%

Most occurring characters

Value	Count	Frequency (%)
.	15871	33.3%
0	15871	33.3%
2	3329	7.0%
4	3280	6.9%
5	3157	6.6%
3	3082	6.5%
1	3023	6.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	47613	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	15871	33.3%
0	15871	33.3%
2	3329	7.0%
4	3280	6.9%
5	3157	6.6%
3	3082	6.5%
1	3023	6.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	47613	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	15871	33.3%
0	15871	33.3%
2	3329	7.0%
4	3280	6.9%
5	3157	6.6%
3	3082	6.5%
1	3023	6.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	47613	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	15871	33.3%
0	15871	33.3%
2	3329	7.0%
4	3280	6.9%
5	3157	6.6%
3	3082	6.5%
1	3023	6.3%

COMMUNICATION
Categorical

MISSING

Distinct	5
Distinct (%)	< 0.1%
Missing	4020
Missing (%)	20.1%
Memory size	156.0 KiB

5.0	3349
4.0	3192
2.0	3192
1.0	3164
3.0	3038

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	47805
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	3.0
3rd row	4.0
4th row	5.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
5.0	3349	16.8%
4.0	3192	16.0%
2.0	3192	16.0%
1.0	3164	15.9%
3.0	3038	15.2%
(Missing)	4020	20.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5.0	3349	21.0%
4.0	3192	20.0%
2.0	3192	20.0%
1.0	3164	19.9%
3.0	3038	19.1%

Most occurring characters

Value	Count	Frequency (%)
.	15935	33.3%
0	15935	33.3%
5	3349	7.0%
4	3192	6.7%
2	3192	6.7%
1	3164	6.6%
3	3038	6.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	47805	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	15935	33.3%
0	15935	33.3%
5	3349	7.0%
4	3192	6.7%
2	3192	6.7%
1	3164	6.6%
3	3038	6.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	47805	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	15935	33.3%
0	15935	33.3%
5	3349	7.0%
4	3192	6.7%
2	3192	6.7%
1	3164	6.6%
3	3038	6.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	47805	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	15935	33.3%
0	15935	33.3%
5	3349	7.0%
4	3192	6.7%
2	3192	6.7%
1	3164	6.6%
3	3038	6.4%

GOALS
Categorical

MISSING

Distinct	5
Distinct (%)	< 0.1%
Missing	3833
Missing (%)	19.2%
Memory size	156.0 KiB

1.0	3266
3.0	3265
4.0	3232
5.0	3226
2.0	3133

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	48366
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4.0
2nd row	2.0
3rd row	2.0
4th row	3.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
1.0	3266	16.4%
3.0	3265	16.4%
4.0	3232	16.2%
5.0	3226	16.2%
2.0	3133	15.7%
(Missing)	3833	19.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	3266	20.3%
3.0	3265	20.3%
4.0	3232	20.0%
5.0	3226	20.0%
2.0	3133	19.4%

Most occurring characters

Value	Count	Frequency (%)
.	16122	33.3%
0	16122	33.3%
1	3266	6.8%
3	3265	6.8%
4	3232	6.7%
5	3226	6.7%
2	3133	6.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	48366	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	16122	33.3%
0	16122	33.3%
1	3266	6.8%
3	3265	6.8%
4	3232	6.7%
5	3226	6.7%
2	3133	6.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	48366	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	16122	33.3%
0	16122	33.3%
1	3266	6.8%
3	3265	6.8%
4	3232	6.7%
5	3226	6.7%
2	3133	6.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	48366	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	16122	33.3%
0	16122	33.3%
1	3266	6.8%
3	3265	6.8%
4	3232	6.7%
5	3226	6.7%
2	3133	6.5%

DELIVERABLES
Categorical

MISSING

Distinct	5
Distinct (%)	< 0.1%
Missing	4083
Missing (%)	20.5%
Memory size	156.0 KiB

5.0	3366
1.0	3274
4.0	3104
2.0	3069
3.0	3059

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	47616
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4.0
2nd row	5.0
3rd row	3.0
4th row	1.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
5.0	3366	16.9%
1.0	3274	16.4%
4.0	3104	15.6%
2.0	3069	15.4%
3.0	3059	15.3%
(Missing)	4083	20.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5.0	3366	21.2%
1.0	3274	20.6%
4.0	3104	19.6%
2.0	3069	19.3%
3.0	3059	19.3%

Most occurring characters

Value	Count	Frequency (%)
.	15872	33.3%
0	15872	33.3%
5	3366	7.1%
1	3274	6.9%
4	3104	6.5%
2	3069	6.4%
3	3059	6.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	47616	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	15872	33.3%
0	15872	33.3%
5	3366	7.1%
1	3274	6.9%
4	3104	6.5%
2	3069	6.4%
3	3059	6.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	47616	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	15872	33.3%
0	15872	33.3%
5	3366	7.1%
1	3274	6.9%
4	3104	6.5%
2	3069	6.4%
3	3059	6.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	47616	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	15872	33.3%
0	15872	33.3%
5	3366	7.1%
1	3274	6.9%
4	3104	6.5%
2	3069	6.4%
3	3059	6.4%

TIMELINESS
Categorical

MISSING

Distinct	5
Distinct (%)	< 0.1%
Missing	3986
Missing (%)	20.0%
Memory size	156.0 KiB

2.0	3261
1.0	3247
3.0	3194
5.0	3146
4.0	3121

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	47907
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	3.0
3rd row	3.0
4th row	4.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
2.0	3261	16.3%
1.0	3247	16.3%
3.0	3194	16.0%
5.0	3146	15.8%
4.0	3121	15.6%
(Missing)	3986	20.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2.0	3261	20.4%
1.0	3247	20.3%
3.0	3194	20.0%
5.0	3146	19.7%
4.0	3121	19.5%

Most occurring characters

Value	Count	Frequency (%)
.	15969	33.3%
0	15969	33.3%
2	3261	6.8%
1	3247	6.8%
3	3194	6.7%
5	3146	6.6%
4	3121	6.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	47907	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	15969	33.3%
0	15969	33.3%
2	3261	6.8%
1	3247	6.8%
3	3194	6.7%
5	3146	6.6%
4	3121	6.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	47907	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	15969	33.3%
0	15969	33.3%
2	3261	6.8%
1	3247	6.8%
3	3194	6.7%
5	3146	6.6%
4	3121	6.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	47907	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	15969	33.3%
0	15969	33.3%
2	3261	6.8%
1	3247	6.8%
3	3194	6.7%
5	3146	6.6%
4	3121	6.5%

CHALLENGES
Categorical

MISSING

Distinct	5
Distinct (%)	< 0.1%
Missing	4154
Missing (%)	20.8%
Memory size	156.0 KiB

4.0	3232
1.0	3194
2.0	3190
5.0	3102
3.0	3083

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	47403
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	3.0
3rd row	1.0
4th row	4.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
4.0	3232	16.2%
1.0	3194	16.0%
2.0	3190	16.0%
5.0	3102	15.5%
3.0	3083	15.4%
(Missing)	4154	20.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
4.0	3232	20.5%
1.0	3194	20.2%
2.0	3190	20.2%
5.0	3102	19.6%
3.0	3083	19.5%

Most occurring characters

Value	Count	Frequency (%)
.	15801	33.3%
0	15801	33.3%
4	3232	6.8%
1	3194	6.7%
2	3190	6.7%
5	3102	6.5%
3	3083	6.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	47403	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	15801	33.3%
0	15801	33.3%
4	3232	6.8%
1	3194	6.7%
2	3190	6.7%
5	3102	6.5%
3	3083	6.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	47403	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	15801	33.3%
0	15801	33.3%
4	3232	6.8%
1	3194	6.7%
2	3190	6.7%
5	3102	6.5%
3	3083	6.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	47403	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	15801	33.3%
0	15801	33.3%
4	3232	6.8%
1	3194	6.7%
2	3190	6.7%
5	3102	6.5%
3	3083	6.5%

PROJECTMANAGEMENT
Categorical

MISSING

Distinct	5
Distinct (%)	< 0.1%
Missing	4155
Missing (%)	20.8%
Memory size	156.0 KiB

5.0	3418
3.0	3187
4.0	3151
2.0	3139
1.0	2905

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	47400
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4.0
2nd row	5.0
3rd row	3.0
4th row	4.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
5.0	3418	17.1%
3.0	3187	16.0%
4.0	3151	15.8%
2.0	3139	15.7%
1.0	2905	14.6%
(Missing)	4155	20.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5.0	3418	21.6%
3.0	3187	20.2%
4.0	3151	19.9%
2.0	3139	19.9%
1.0	2905	18.4%

Most occurring characters

Value	Count	Frequency (%)
.	15800	33.3%
0	15800	33.3%
5	3418	7.2%
3	3187	6.7%
4	3151	6.6%
2	3139	6.6%
1	2905	6.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	47400	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	15800	33.3%
0	15800	33.3%
5	3418	7.2%
3	3187	6.7%
4	3151	6.6%
2	3139	6.6%
1	2905	6.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	47400	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	15800	33.3%
0	15800	33.3%
5	3418	7.2%
3	3187	6.7%
4	3151	6.6%
2	3139	6.6%
1	2905	6.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	47400	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	15800	33.3%
0	15800	33.3%
5	3418	7.2%
3	3187	6.7%
4	3151	6.6%
2	3139	6.6%
1	2905	6.1%

SUPPORT
Categorical

MISSING

Distinct	5
Distinct (%)	< 0.1%
Missing	3917
Missing (%)	19.6%
Memory size	156.0 KiB

4.0	3500
5.0	3224
2.0	3180
1.0	3082
3.0	3052

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	48114
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4.0
2nd row	5.0
3rd row	2.0
4th row	5.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
4.0	3500	17.5%
5.0	3224	16.2%
2.0	3180	15.9%
1.0	3082	15.4%
3.0	3052	15.3%
(Missing)	3917	19.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
4.0	3500	21.8%
5.0	3224	20.1%
2.0	3180	19.8%
1.0	3082	19.2%
3.0	3052	19.0%

Most occurring characters

Value	Count	Frequency (%)
.	16038	33.3%
0	16038	33.3%
4	3500	7.3%
5	3224	6.7%
2	3180	6.6%
1	3082	6.4%
3	3052	6.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	48114	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	16038	33.3%
0	16038	33.3%
4	3500	7.3%
5	3224	6.7%
2	3180	6.6%
1	3082	6.4%
3	3052	6.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	48114	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	16038	33.3%
0	16038	33.3%
4	3500	7.3%
5	3224	6.7%
2	3180	6.6%
1	3082	6.4%
3	3052	6.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	48114	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	16038	33.3%
0	16038	33.3%
4	3500	7.3%
5	3224	6.7%
2	3180	6.6%
1	3082	6.4%
3	3052	6.3%

IMPROVEMENT
Categorical

MISSING

Distinct	10
Distinct (%)	0.3%
Missing	15986
Missing (%)	80.1%
Memory size	156.0 KiB

Encourage cross-functional collaboration.	458
Conduct regular retrospectives for learning.	455
Clarify project scopes to avoid creep.	415
Explore new project management tools.	408
Improve inter-team communication.	405
Other values (5)	1828

Length

Max length	47
Median length	44
Mean length	41.034769
Min length	33

Characters and Unicode

Total characters	162867
Distinct characters	33
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Enhance code reviews for early issue detection.
2nd row	Offer more training for team skill enhancement.
3rd row	Encourage cross-functional collaboration.
4th row	Conduct regular retrospectives for learning.
5th row	Clarify project scopes to avoid creep.

Common Values

Value	Count	Frequency (%)
Encourage cross-functional collaboration.	458	2.3%
Conduct regular retrospectives for learning.	455	2.3%
Clarify project scopes to avoid creep.	415	2.1%
Explore new project management tools.	408	2.0%
Improve inter-team communication.	405	2.0%
Strengthen risk assessment strategies.	390	2.0%
Offer more training for team skill enhancement.	388	1.9%
Implement better documentation practices.	367	1.8%
Upgrade testing infrastructure and automation.	366	1.8%
Enhance code reviews for early issue detection.	317	1.6%
(Missing)	15986	80.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
for	1160	6.0%
project	823	4.3%
encourage	458	2.4%
cross-functional	458	2.4%
collaboration	458	2.4%
conduct	455	2.4%
regular	455	2.4%
retrospectives	455	2.4%
learning	455	2.4%
creep	415	2.2%
Other values (36)	13595	70.9%

Most occurring characters

Value	Count	Frequency (%)
e	18152	11.1%
	15218	9.3%
t	13696	8.4%
r	12846	7.9%
n	12262	7.5%
o	11813	7.3%
a	10340	6.3%
i	8598	5.3%
s	8232	5.1%
c	8011	4.9%
Other values (23)	43699	26.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	162867	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	18152	11.1%
	15218	9.3%
t	13696	8.4%
r	12846	7.9%
n	12262	7.5%
o	11813	7.3%
a	10340	6.3%
i	8598	5.3%
s	8232	5.1%
c	8011	4.9%
Other values (23)	43699	26.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	162867	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	18152	11.1%
	15218	9.3%
t	13696	8.4%
r	12846	7.9%
n	12262	7.5%
o	11813	7.3%
a	10340	6.3%
i	8598	5.3%
s	8232	5.1%
c	8011	4.9%
Other values (23)	43699	26.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	162867	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	18152	11.1%
	15218	9.3%
t	13696	8.4%
r	12846	7.9%
n	12262	7.5%
o	11813	7.3%
a	10340	6.3%
i	8598	5.3%
s	8232	5.1%
c	8011	4.9%
Other values (23)	43699	26.8%

DATESTART
Date

Distinct	105
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	156.0 KiB

Minimum	2022-04-10 00:00:00
Maximum	2024-04-07 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

DATEEND
Date

Distinct	105
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	156.0 KiB

Minimum	2022-04-16 00:00:00
Maximum	2024-04-13 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

USERID
Real number (ℝ)

Distinct	1008
Distinct (%)	5.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1033.5941

Minimum	1
Maximum	1999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.0 KiB

Quantile statistics

Minimum	1
5-th percentile	105
Q1	526
median	1043
Q3	1562
95-th percentile	1903
Maximum	1999
Range	1998
Interquartile range (IQR)	1036

Descriptive statistics

Standard deviation	582.44069
Coefficient of variation (CV)	0.56351008
Kurtosis	-1.2176576
Mean	1033.5941
Median Absolute Deviation (MAD)	517
Skewness	-0.078145494
Sum	20625370
Variance	339237.16
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1337	209	1.0%
937	182	0.9%
1216	176	0.9%
1563	156	0.8%
711	140	0.7%
1307	135	0.7%
1890	132	0.7%
477	128	0.6%
206	120	0.6%
1772	120	0.6%
Other values (998)	18457	92.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	< 0.1%
3	4	< 0.1%
4	3	< 0.1%
9	18	0.1%
10	24	0.1%
11	1	< 0.1%
13	2	< 0.1%
14	20	0.1%
18	28	0.1%
19	12	0.1%

Value	Count	Frequency (%)
1999	6	< 0.1%
1997	40	0.2%
1994	20	0.1%
1989	6	< 0.1%
1986	6	< 0.1%
1985	2	< 0.1%
1984	1	< 0.1%
1983	9	< 0.1%
1979	49	0.2%
1977	91	0.5%

PROJECTTYPE
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.0 KiB

FullStack	6725
Data Engineering	6615
Data Science & Analytics	6615

Length

Max length	24
Median length	16
Mean length	16.292909
Min length	9

Characters and Unicode

Total characters	325125
Distinct characters	20
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Data Engineering
2nd row	Data Science & Analytics
3rd row	Data Science & Analytics
4th row	Data Engineering
5th row	Data Engineering

Common Values

Value	Count	Frequency (%)
FullStack	6725	33.7%
Data Engineering	6615	33.1%
Data Science & Analytics	6615	33.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
data	13230	28.5%
fullstack	6725	14.5%
engineering	6615	14.3%
science	6615	14.3%
	6615	14.3%
analytics	6615	14.3%

Most occurring characters

Value	Count	Frequency (%)
a	39800	12.2%
n	33075	10.2%
t	26570	8.2%
c	26570	8.2%
	26460	8.1%
i	26460	8.1%
e	26460	8.1%
l	20065	6.2%
S	13340	4.1%
D	13230	4.1%
Other values (10)	73095	22.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	325125	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	39800	12.2%
n	33075	10.2%
t	26570	8.2%
c	26570	8.2%
	26460	8.1%
i	26460	8.1%
e	26460	8.1%
l	20065	6.2%
S	13340	4.1%
D	13230	4.1%
Other values (10)	73095	22.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	325125	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	39800	12.2%
n	33075	10.2%
t	26570	8.2%
c	26570	8.2%
	26460	8.1%
i	26460	8.1%
e	26460	8.1%
l	20065	6.2%
S	13340	4.1%
D	13230	4.1%
Other values (10)	73095	22.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	325125	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	39800	12.2%
n	33075	10.2%
t	26570	8.2%
c	26570	8.2%
	26460	8.1%
i	26460	8.1%
e	26460	8.1%
l	20065	6.2%
S	13340	4.1%
D	13230	4.1%
Other values (10)	73095	22.5%

TASKSELECTED
Categorical

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.0 KiB

['Deployment']	2366
['Documentation']	2361
['Frontend']	2252
['Ingestion&Transformation']	2222
['Integration&Optimization']	2214
Other values (4)	8540

Length

Max length	38
Median length	26
Mean length	20.787472
Min length	11

Characters and Unicode

Total characters	414814
Distinct characters	36
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	['Prediction,Clustering&Optimization']
2nd row	['Backend']
3rd row	['Backend']
4th row	['Deployment']
5th row	['Deployment']

Common Values

Value	Count	Frequency (%)
['Deployment']	2366	11.9%
['Documentation']	2361	11.8%
['Frontend']	2252	11.3%
['Ingestion&Transformation']	2222	11.1%
['Integration&Optimization']	2214	11.1%
['Prediction,Clustering&Optimization']	2166	10.9%
['Backend']	2161	10.8%
['QA&Testing']	2108	10.6%
['Modeling&Visualization']	2105	10.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
deployment	2366	11.9%
documentation	2361	11.8%
frontend	2252	11.3%
ingestion&transformation	2222	11.1%
integration&optimization	2214	11.1%
prediction,clustering&optimization	2166	10.9%
backend	2161	10.8%
qa&testing	2108	10.6%
modeling&visualization	2105	10.5%

Most occurring characters

Value	Count	Frequency (%)
n	42099	10.1%
'	39910	9.6%
i	39185	9.4%
t	35517	8.6%
o	28976	7.0%
e	24487	5.9%
[	19955	4.8%
]	19955	4.8%
a	19770	4.8%
r	13242	3.2%
Other values (26)	131718	31.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	414814	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	42099	10.1%
'	39910	9.6%
i	39185	9.4%
t	35517	8.6%
o	28976	7.0%
e	24487	5.9%
[	19955	4.8%
]	19955	4.8%
a	19770	4.8%
r	13242	3.2%
Other values (26)	131718	31.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	414814	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	42099	10.1%
'	39910	9.6%
i	39185	9.4%
t	35517	8.6%
o	28976	7.0%
e	24487	5.9%
[	19955	4.8%
]	19955	4.8%
a	19770	4.8%
r	13242	3.2%
Other values (26)	131718	31.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	414814	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	42099	10.1%
'	39910	9.6%
i	39185	9.4%
t	35517	8.6%
o	28976	7.0%
e	24487	5.9%
[	19955	4.8%
]	19955	4.8%
a	19770	4.8%
r	13242	3.2%
Other values (26)	131718	31.8%

MON
Real number (ℝ)

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.5291907

Minimum	4
Maximum	13
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.0 KiB

Quantile statistics

Minimum	4
5-th percentile	5
Q1	7
median	9
Q3	10
95-th percentile	12
Maximum	13
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.9636333
Coefficient of variation (CV)	0.23022505
Kurtosis	-0.48994677
Mean	8.5291907
Median Absolute Deviation (MAD)	1
Skewness	0.0037424515
Sum	170200
Variance	3.8558558
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
9	3808	19.1%
8	3465	17.4%
10	3137	15.7%
7	3107	15.6%
11	1934	9.7%
6	1930	9.7%
12	951	4.8%
5	947	4.7%
13	376	1.9%
4	300	1.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	300	1.5%
5	947	4.7%
6	1930	9.7%
7	3107	15.6%
8	3465	17.4%
9	3808	19.1%
10	3137	15.7%
11	1934	9.7%
12	951	4.8%
13	376	1.9%

Value	Count	Frequency (%)
13	376	1.9%
12	951	4.8%
11	1934	9.7%
10	3137	15.7%
9	3808	19.1%
8	3465	17.4%
7	3107	15.6%
6	1930	9.7%
5	947	4.7%
4	300	1.5%

TUE
Real number (ℝ)

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.4640942

Minimum	4
Maximum	13
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.0 KiB

Quantile statistics

Minimum	4
5-th percentile	5
Q1	7
median	8
Q3	10
95-th percentile	12
Maximum	13
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.002542
Coefficient of variation (CV)	0.2365926
Kurtosis	-0.54571535
Mean	8.4640942
Median Absolute Deviation (MAD)	1
Skewness	0.01302688
Sum	168901
Variance	4.0101746
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
9	3733	18.7%
8	3525	17.7%
7	3117	15.6%
10	2750	13.8%
6	2029	10.2%
11	2000	10.0%
12	1070	5.4%
5	1039	5.2%
4	380	1.9%
13	312	1.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	380	1.9%
5	1039	5.2%
6	2029	10.2%
7	3117	15.6%
8	3525	17.7%
9	3733	18.7%
10	2750	13.8%
11	2000	10.0%
12	1070	5.4%
13	312	1.6%

Value	Count	Frequency (%)
13	312	1.6%
12	1070	5.4%
11	2000	10.0%
10	2750	13.8%
9	3733	18.7%
8	3525	17.7%
7	3117	15.6%
6	2029	10.2%
5	1039	5.2%
4	380	1.9%

WED
Real number (ℝ)

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.5077424

Minimum	4
Maximum	13
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.0 KiB

Quantile statistics

Minimum	4
5-th percentile	5
Q1	7
median	9
Q3	10
95-th percentile	12
Maximum	13
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.9628651
Coefficient of variation (CV)	0.23071515
Kurtosis	-0.45756606
Mean	8.5077424
Median Absolute Deviation (MAD)	1
Skewness	-0.035556491
Sum	169772
Variance	3.8528392
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
9	3824	19.2%
8	3588	18.0%
7	3019	15.1%
10	3018	15.1%
11	2091	10.5%
6	1942	9.7%
5	880	4.4%
12	850	4.3%
4	397	2.0%
13	346	1.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	397	2.0%
5	880	4.4%
6	1942	9.7%
7	3019	15.1%
8	3588	18.0%
9	3824	19.2%
10	3018	15.1%
11	2091	10.5%
12	850	4.3%
13	346	1.7%

Value	Count	Frequency (%)
13	346	1.7%
12	850	4.3%
11	2091	10.5%
10	3018	15.1%
9	3824	19.2%
8	3588	18.0%
7	3019	15.1%
6	1942	9.7%
5	880	4.4%
4	397	2.0%

THU
Real number (ℝ)

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.4884991

Minimum	4
Maximum	13
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.0 KiB

Quantile statistics

Minimum	4
5-th percentile	5
Q1	7
median	8
Q3	10
95-th percentile	12
Maximum	13
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.9713813
Coefficient of variation (CV)	0.23224144
Kurtosis	-0.49668073
Mean	8.4884991
Median Absolute Deviation (MAD)	1
Skewness	-0.018570598
Sum	169388
Variance	3.8863441
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
8	3736	18.7%
9	3607	18.1%
7	3093	15.5%
10	2994	15.0%
11	2033	10.2%
6	1851	9.3%
5	1011	5.1%
12	956	4.8%
4	368	1.8%
13	306	1.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	368	1.8%
5	1011	5.1%
6	1851	9.3%
7	3093	15.5%
8	3736	18.7%
9	3607	18.1%
10	2994	15.0%
11	2033	10.2%
12	956	4.8%
13	306	1.5%

Value	Count	Frequency (%)
13	306	1.5%
12	956	4.8%
11	2033	10.2%
10	2994	15.0%
9	3607	18.1%
8	3736	18.7%
7	3093	15.5%
6	1851	9.3%
5	1011	5.1%
4	368	1.8%

FRI
Real number (ℝ)

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.5035831

Minimum	4
Maximum	13
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.0 KiB

Quantile statistics

Minimum	4
5-th percentile	5
Q1	7
median	8
Q3	10
95-th percentile	12
Maximum	13
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.943995
Coefficient of variation (CV)	0.22860893
Kurtosis	-0.50170558
Mean	8.5035831
Median Absolute Deviation (MAD)	1
Skewness	0.043425677
Sum	169689
Variance	3.7791167
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
9	3776	18.9%
8	3760	18.8%
7	3132	15.7%
10	2867	14.4%
11	1986	10.0%
6	1857	9.3%
5	1069	5.4%
12	953	4.8%
13	338	1.7%
4	217	1.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	217	1.1%
5	1069	5.4%
6	1857	9.3%
7	3132	15.7%
8	3760	18.8%
9	3776	18.9%
10	2867	14.4%
11	1986	10.0%
12	953	4.8%
13	338	1.7%

Value	Count	Frequency (%)
13	338	1.7%
12	953	4.8%
11	1986	10.0%
10	2867	14.4%
9	3776	18.9%
8	3760	18.8%
7	3132	15.7%
6	1857	9.3%
5	1069	5.4%
4	217	1.1%

SAT
Real number (ℝ)

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.5203207

Minimum	4
Maximum	13
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.0 KiB

Quantile statistics

Minimum	4
5-th percentile	5
Q1	7
median	9
Q3	10
95-th percentile	12
Maximum	13
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.0116742
Coefficient of variation (CV)	0.23610311
Kurtosis	-0.54661016
Mean	8.5203207
Median Absolute Deviation (MAD)	1
Skewness	-0.0019979281
Sum	170023
Variance	4.0468332
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
8	3645	18.3%
9	3452	17.3%
10	3108	15.6%
7	2890	14.5%
6	2050	10.3%
11	2049	10.3%
5	1008	5.1%
12	997	5.0%
13	402	2.0%
4	354	1.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	354	1.8%
5	1008	5.1%
6	2050	10.3%
7	2890	14.5%
8	3645	18.3%
9	3452	17.3%
10	3108	15.6%
11	2049	10.3%
12	997	5.0%
13	402	2.0%

Value	Count	Frequency (%)
13	402	2.0%
12	997	5.0%
11	2049	10.3%
10	3108	15.6%
9	3452	17.3%
8	3645	18.3%
7	2890	14.5%
6	2050	10.3%
5	1008	5.1%
4	354	1.8%

SUN
Real number (ℝ)

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.541769

Minimum	4
Maximum	13
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.0 KiB

Quantile statistics

Minimum	4
5-th percentile	5
Q1	7
median	9
Q3	10
95-th percentile	12
Maximum	13
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.9889181
Coefficient of variation (CV)	0.23284616
Kurtosis	-0.54761074
Mean	8.541769
Median Absolute Deviation (MAD)	1
Skewness	-0.040936143
Sum	170451
Variance	3.9557951
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
9	3616	18.1%
8	3470	17.4%
10	3175	15.9%
7	3038	15.2%
11	2064	10.3%
6	1865	9.3%
12	1058	5.3%
5	1012	5.1%
4	340	1.7%
13	317	1.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	340	1.7%
5	1012	5.1%
6	1865	9.3%
7	3038	15.2%
8	3470	17.4%
9	3616	18.1%
10	3175	15.9%
11	2064	10.3%
12	1058	5.3%
13	317	1.6%

Value	Count	Frequency (%)
13	317	1.6%
12	1058	5.3%
11	2064	10.3%
10	3175	15.9%
9	3616	18.1%
8	3470	17.4%
7	3038	15.2%
6	1865	9.3%
5	1012	5.1%
4	340	1.7%

TOTAL
Real number (ℝ)

Distinct	58
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	59.555199

Minimum	30
Maximum	89
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.0 KiB

Quantile statistics

Minimum	30
5-th percentile	42
Q1	52
median	59
Q3	67
95-th percentile	77
Maximum	89
Range	59
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	10.378735
Coefficient of variation (CV)	0.17427085
Kurtosis	-0.55415823
Mean	59.555199
Median Absolute Deviation (MAD)	8
Skewness	0.009292843
Sum	1188424
Variance	107.71815
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
57	784	3.9%
63	777	3.9%
61	758	3.8%
59	736	3.7%
58	719	3.6%
67	702	3.5%
56	674	3.4%
55	666	3.3%
52	654	3.3%
65	633	3.2%
Other values (48)	12852	64.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
30	3	< 0.1%
31	4	< 0.1%
33	6	< 0.1%
34	18	0.1%
35	29	0.1%
36	40	0.2%
37	75	0.4%
38	143	0.7%
39	149	0.7%
40	142	0.7%

Value	Count	Frequency (%)
89	7	< 0.1%
87	9	< 0.1%
86	14	0.1%
85	5	< 0.1%
84	26	0.1%
83	58	0.3%
82	76	0.4%
81	106	0.5%
80	203	1.0%
79	170	0.9%

PROJECTNAME
Categorical

Distinct	20
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.0 KiB

Cox-Hays Solution	1113
White LLC Initiative	1109
Miller LLC Initiative	1091
Robinson and Sons Project	1072
Hicks and Sons Initiative	1063
Other values (15)	14507

Length

Max length	38
Median length	32
Mean length	24.661188
Min length	17

Characters and Unicode

Total characters	492114
Distinct characters	45
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Washington-Little Initiative
2nd row	Neal PLC Initiative
3rd row	Neal PLC Initiative
4th row	Washington-Little Initiative
5th row	Washington-Little Initiative

Common Values

Value	Count	Frequency (%)
Cox-Hays Solution	1113	5.6%
White LLC Initiative	1109	5.6%
Miller LLC Initiative	1091	5.5%
Robinson and Sons Project	1072	5.4%
Hicks and Sons Initiative	1063	5.3%
Neal PLC Initiative	1045	5.2%
Willis Ltd Solution	1040	5.2%
Jenkins-Johnson Initiative	1016	5.1%
Villarreal-Flynn Project	1008	5.1%
Johnson, Roth and Ray Initiative	1007	5.0%
Other values (10)	9391	47.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
initiative	9991	16.1%
and	5994	9.7%
project	5923	9.6%
solution	4041	6.5%
llc	2200	3.5%
sons	2135	3.4%
miller	2091	3.4%
cox-hays	1113	1.8%
white	1109	1.8%
robinson	1072	1.7%
Other values (27)	26330	42.5%

Most occurring characters

Value	Count	Frequency (%)
i	52020	10.6%
n	46282	9.4%
	42044	8.5%
t	38704	7.9%
o	33690	6.8%
a	33319	6.8%
e	30585	6.2%
l	21589	4.4%
r	20471	4.2%
s	16905	3.4%
Other values (35)	156505	31.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	492114	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	52020	10.6%
n	46282	9.4%
	42044	8.5%
t	38704	7.9%
o	33690	6.8%
a	33319	6.8%
e	30585	6.2%
l	21589	4.4%
r	20471	4.2%
s	16905	3.4%
Other values (35)	156505	31.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	492114	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	52020	10.6%
n	46282	9.4%
	42044	8.5%
t	38704	7.9%
o	33690	6.8%
a	33319	6.8%
e	30585	6.2%
l	21589	4.4%
r	20471	4.2%
s	16905	3.4%
Other values (35)	156505	31.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	492114	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	52020	10.6%
n	46282	9.4%
	42044	8.5%
t	38704	7.9%
o	33690	6.8%
a	33319	6.8%
e	30585	6.2%
l	21589	4.4%
r	20471	4.2%
s	16905	3.4%
Other values (35)	156505	31.8%

DOMAIN
Categorical

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.0 KiB

Cybersecurity	4909
Media and Entertainment	4192
Financial Services	2957
Healthcare	2080
Telecommunications	2003
Other values (4)	3814

Length

Max length	44
Median length	23
Mean length	18.613731
Min length	10

Characters and Unicode

Total characters	371437
Distinct characters	33
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Media and Entertainment
2nd row	Telecommunications
3rd row	Telecommunications
4th row	Media and Entertainment
5th row	Media and Entertainment

Common Values

Value	Count	Frequency (%)
Cybersecurity	4909	24.6%
Media and Entertainment	4192	21.0%
Financial Services	2957	14.8%
Healthcare	2080	10.4%
Telecommunications	2003	10.0%
Education Technology	1040	5.2%
Renewable Energy	1007	5.0%
Artificial Intelligence and Machine Learning	921	4.6%
Transportation and Logistics	846	4.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
and	5959	15.4%
cybersecurity	4909	12.7%
media	4192	10.8%
entertainment	4192	10.8%
financial	2957	7.6%
services	2957	7.6%
healthcare	2080	5.4%
telecommunications	2003	5.2%
technology	1040	2.7%
education	1040	2.7%
Other values (8)	7390	19.1%

Most occurring characters

Value	Count	Frequency (%)
e	46147	12.4%
n	38846	10.5%
i	35274	9.5%
a	32922	8.9%
t	26988	7.3%
r	23588	6.4%
c	22598	6.1%
	18764	5.1%
s	12407	3.3%
y	11865	3.2%
Other values (23)	102038	27.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	371437	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	46147	12.4%
n	38846	10.5%
i	35274	9.5%
a	32922	8.9%
t	26988	7.3%
r	23588	6.4%
c	22598	6.1%
	18764	5.1%
s	12407	3.3%
y	11865	3.2%
Other values (23)	102038	27.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	371437	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	46147	12.4%
n	38846	10.5%
i	35274	9.5%
a	32922	8.9%
t	26988	7.3%
r	23588	6.4%
c	22598	6.1%
	18764	5.1%
s	12407	3.3%
y	11865	3.2%
Other values (23)	102038	27.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	371437	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	46147	12.4%
n	38846	10.5%
i	35274	9.5%
a	32922	8.9%
t	26988	7.3%
r	23588	6.4%
c	22598	6.1%
	18764	5.1%
s	12407	3.3%
y	11865	3.2%
Other values (23)	102038	27.5%

COMPLEXITY
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.0 KiB

High	14139
Medium	5816

Length

Max length	6
Median length	4
Mean length	4.5829116
Min length	4

Characters and Unicode

Total characters	91452
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	High
2nd row	High
3rd row	High
4th row	High
5th row	High

Common Values

Value	Count	Frequency (%)
High	14139	70.9%
Medium	5816	29.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
high	14139	70.9%
medium	5816	29.1%

Most occurring characters

Value	Count	Frequency (%)
i	19955	21.8%
H	14139	15.5%
g	14139	15.5%
h	14139	15.5%
M	5816	6.4%
e	5816	6.4%
d	5816	6.4%
u	5816	6.4%
m	5816	6.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	91452	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	19955	21.8%
H	14139	15.5%
g	14139	15.5%
h	14139	15.5%
M	5816	6.4%
e	5816	6.4%
d	5816	6.4%
u	5816	6.4%
m	5816	6.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	91452	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	19955	21.8%
H	14139	15.5%
g	14139	15.5%
h	14139	15.5%
M	5816	6.4%
e	5816	6.4%
d	5816	6.4%
u	5816	6.4%
m	5816	6.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	91452	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	19955	21.8%
H	14139	15.5%
g	14139	15.5%
h	14139	15.5%
M	5816	6.4%
e	5816	6.4%
d	5816	6.4%
u	5816	6.4%
m	5816	6.4%

USER_ID
Real number (ℝ)

Distinct	1008
Distinct (%)	5.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1033.5941

Minimum	1
Maximum	1999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.0 KiB

Quantile statistics

Minimum	1
5-th percentile	105
Q1	526
median	1043
Q3	1562
95-th percentile	1903
Maximum	1999
Range	1998
Interquartile range (IQR)	1036

Descriptive statistics

Standard deviation	582.44069
Coefficient of variation (CV)	0.56351008
Kurtosis	-1.2176576
Mean	1033.5941
Median Absolute Deviation (MAD)	517
Skewness	-0.078145494
Sum	20625370
Variance	339237.16
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1337	209	1.0%
937	182	0.9%
1216	176	0.9%
1563	156	0.8%
711	140	0.7%
1307	135	0.7%
1890	132	0.7%
477	128	0.6%
206	120	0.6%
1772	120	0.6%
Other values (998)	18457	92.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	< 0.1%
3	4	< 0.1%
4	3	< 0.1%
9	18	0.1%
10	24	0.1%
11	1	< 0.1%
13	2	< 0.1%
14	20	0.1%
18	28	0.1%
19	12	0.1%

Value	Count	Frequency (%)
1999	6	< 0.1%
1997	40	0.2%
1994	20	0.1%
1989	6	< 0.1%
1986	6	< 0.1%
1985	2	< 0.1%
1984	1	< 0.1%
1983	9	< 0.1%
1979	49	0.2%
1977	91	0.5%

NAME
Text

Distinct	1002
Distinct (%)	5.0%
Missing	0
Missing (%)	0.0%
Memory size	156.0 KiB

Length

Max length	22
Median length	19
Mean length	12.989927
Min length	7

Characters and Unicode

Total characters	259214
Distinct characters	50
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	88 ?
Unique (%)	0.4%

Sample

1st row	Aaron Waller
2nd row	Jennifer Cohen
3rd row	Jennifer Cohen
4th row	Todd Swanson
5th row	Todd Swanson

Value	Count	Frequency (%)
davis	648	1.6%
smith	641	1.6%
johnson	596	1.5%
michael	555	1.4%
matthew	424	1.1%
david	389	1.0%
jessica	387	1.0%
thomas	358	0.9%
john	357	0.9%
edwards	354	0.9%
Other values (794)	35201	88.2%

Most occurring characters

Value	Count	Frequency (%)
a	24836	9.6%
e	24438	9.4%
	19955	7.7%
n	19023	7.3%
r	17813	6.9%
i	16049	6.2%
o	13286	5.1%
s	12725	4.9%
l	11312	4.4%
h	9561	3.7%
Other values (40)	90216	34.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	259214	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	24836	9.6%
e	24438	9.4%
	19955	7.7%
n	19023	7.3%
r	17813	6.9%
i	16049	6.2%
o	13286	5.1%
s	12725	4.9%
l	11312	4.4%
h	9561	3.7%
Other values (40)	90216	34.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	259214	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	24836	9.6%
e	24438	9.4%
	19955	7.7%
n	19023	7.3%
r	17813	6.9%
i	16049	6.2%
o	13286	5.1%
s	12725	4.9%
l	11312	4.4%
h	9561	3.7%
Other values (40)	90216	34.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	259214	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	24836	9.6%
e	24438	9.4%
	19955	7.7%
n	19023	7.3%
r	17813	6.9%
i	16049	6.2%
o	13286	5.1%
s	12725	4.9%
l	11312	4.4%
h	9561	3.7%
Other values (40)	90216	34.8%

ROLE
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.0 KiB

Intern	10884
Jr.Developer	3629
Sr.Developer	3618
Admin	1297
Solutions Consultant	527

Length

Max length	20
Median length	6
Mean length	8.4837384
Min length	5

Characters and Unicode

Total characters	169293
Distinct characters	22
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Jr.Developer
2nd row	Intern
3rd row	Intern
4th row	Intern
5th row	Intern

Common Values

Value	Count	Frequency (%)
Intern	10884	54.5%
Jr.Developer	3629	18.2%
Sr.Developer	3618	18.1%
Admin	1297	6.5%
Solutions Consultant	527	2.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
intern	10884	53.1%
jr.developer	3629	17.7%
sr.developer	3618	17.7%
admin	1297	6.3%
solutions	527	2.6%
consultant	527	2.6%

Most occurring characters

Value	Count	Frequency (%)
e	32625	19.3%
r	25378	15.0%
n	24646	14.6%
t	12465	7.4%
I	10884	6.4%
o	8828	5.2%
l	8301	4.9%
v	7247	4.3%
p	7247	4.3%
D	7247	4.3%
Other values (12)	24425	14.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	169293	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	32625	19.3%
r	25378	15.0%
n	24646	14.6%
t	12465	7.4%
I	10884	6.4%
o	8828	5.2%
l	8301	4.9%
v	7247	4.3%
p	7247	4.3%
D	7247	4.3%
Other values (12)	24425	14.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	169293	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	32625	19.3%
r	25378	15.0%
n	24646	14.6%
t	12465	7.4%
I	10884	6.4%
o	8828	5.2%
l	8301	4.9%
v	7247	4.3%
p	7247	4.3%
D	7247	4.3%
Other values (12)	24425	14.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	169293	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	32625	19.3%
r	25378	15.0%
n	24646	14.6%
t	12465	7.4%
I	10884	6.4%
o	8828	5.2%
l	8301	4.9%
v	7247	4.3%
p	7247	4.3%
D	7247	4.3%
Other values (12)	24425	14.4%

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

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Last rows

	PROJECTASSIGNED	SATISFACTION	COMMUNICATION	GOALS	DELIVERABLES	TIMELINESS	CHALLENGES	PROJECTMANAGEMENT	SUPPORT	IMPROVEMENT	DATESTART	DATEEND	USERID	PROJECTTYPE	TASKSELECTED	MON	TUE	WED	THU	FRI	SAT	SUN	TOTAL	PROJECTNAME	DOMAIN	COMPLEXITY	USER_ID	NAME	ROLE
0	Washington-Little Initiative	1.0	1.0	4.0	4.0	1.0	2.0	4.0	4.0	NaN	2023-10-22	2023-10-28	283	Data Engineering	['Prediction,Clustering&Optimization']	9	10	8	9	12	10	9	67	Washington-Little Initiative	Media and Entertainment	High	283	Aaron Waller	Jr.Developer
1	Neal PLC Initiative	2.0	3.0	2.0	5.0	3.0	3.0	5.0	5.0	NaN	2022-07-24	2022-07-30	430	Data Science & Analytics	['Backend']	9	9	9	8	8	9	10	62	Neal PLC Initiative	Telecommunications	High	430	Jennifer Cohen	Intern
2	Neal PLC Initiative	1.0	4.0	NaN	3.0	3.0	1.0	3.0	2.0	NaN	2024-01-14	2024-01-20	430	Data Science & Analytics	['Backend']	9	9	9	8	8	9	10	62	Neal PLC Initiative	Telecommunications	High	430	Jennifer Cohen	Intern
3	Washington-Little Initiative	4.0	5.0	2.0	1.0	4.0	4.0	4.0	5.0	NaN	2023-02-12	2023-02-18	309	Data Engineering	['Deployment']	7	6	6	9	6	6	9	49	Washington-Little Initiative	Media and Entertainment	High	309	Todd Swanson	Intern
4	Washington-Little Initiative	NaN	3.0	3.0	4.0	4.0	2.0	3.0	1.0	NaN	2023-02-12	2023-02-18	309	Data Engineering	['Deployment']	7	6	6	9	6	6	9	49	Washington-Little Initiative	Media and Entertainment	High	309	Todd Swanson	Intern
5	Washington-Little Initiative	NaN	4.0	NaN	5.0	5.0	4.0	1.0	3.0	NaN	2023-09-24	2023-09-30	309	Data Engineering	['Deployment']	7	6	6	9	6	6	9	49	Washington-Little Initiative	Media and Entertainment	High	309	Todd Swanson	Intern
6	Washington-Little Initiative	NaN	1.0	4.0	NaN	3.0	2.0	NaN	5.0	NaN	2023-02-12	2023-02-18	309	Data Engineering	['Deployment']	7	6	6	9	6	6	9	49	Washington-Little Initiative	Media and Entertainment	High	309	Todd Swanson	Intern
7	Medina, Miller and Craig Initiative	3.0	3.0	2.0	2.0	NaN	4.0	5.0	5.0	NaN	2022-08-14	2022-08-20	309	Data Engineering	['Deployment']	7	6	6	9	6	6	9	49	Medina, Miller and Craig Initiative	Financial Services	High	309	Todd Swanson	Intern
8	Washington-Little Initiative	2.0	3.0	NaN	5.0	2.0	NaN	2.0	2.0	NaN	2023-09-24	2023-09-30	309	Data Engineering	['Deployment']	7	6	6	9	6	6	9	49	Washington-Little Initiative	Media and Entertainment	High	309	Todd Swanson	Intern
9	Flowers-Anderson Project	1.0	NaN	3.0	NaN	4.0	3.0	NaN	5.0	NaN	2023-12-31	2024-01-06	600	Data Science & Analytics	['Backend']	8	6	7	9	8	6	10	54	Flowers-Anderson Project	Cybersecurity	Medium	600	Bruce Duarte	Sr.Developer

	PROJECTASSIGNED	SATISFACTION	COMMUNICATION	GOALS	DELIVERABLES	TIMELINESS	CHALLENGES	PROJECTMANAGEMENT	SUPPORT	IMPROVEMENT	DATESTART	DATEEND	USERID	PROJECTTYPE	TASKSELECTED	MON	TUE	WED	THU	FRI	SAT	SUN	TOTAL	PROJECTNAME	DOMAIN	COMPLEXITY	USER_ID	NAME	ROLE
19945	Smith, Francis and Nelson Project	NaN	5.0	3.0	NaN	3.0	5.0	2.0	1.0	NaN	2024-02-11	2024-02-17	1890	FullStack	['Backend']	7	7	7	9	5	7	9	51	Smith, Francis and Nelson Project	Telecommunications	Medium	1890	John Edwards	Intern
19946	Smith, Francis and Nelson Project	3.0	2.0	3.0	1.0	3.0	2.0	4.0	1.0	NaN	2022-07-31	2022-08-06	1890	FullStack	['Backend']	7	7	7	9	5	7	9	51	Smith, Francis and Nelson Project	Telecommunications	Medium	1890	John Edwards	Intern
19947	Perkins-Crawford Project	1.0	NaN	NaN	2.0	5.0	3.0	1.0	4.0	NaN	2022-04-10	2022-04-16	1890	FullStack	['Backend']	7	7	7	9	5	7	9	51	Perkins-Crawford Project	Cybersecurity	High	1890	John Edwards	Intern
19948	Smith, Francis and Nelson Project	3.0	4.0	4.0	NaN	5.0	NaN	3.0	4.0	NaN	2022-05-22	2022-05-28	1890	FullStack	['Backend']	7	7	7	9	5	7	9	51	Smith, Francis and Nelson Project	Telecommunications	Medium	1890	John Edwards	Intern
19949	Smith, Francis and Nelson Project	5.0	5.0	3.0	1.0	2.0	NaN	NaN	4.0	NaN	2024-02-11	2024-02-17	1890	FullStack	['Backend']	7	7	7	9	5	7	9	51	Smith, Francis and Nelson Project	Telecommunications	Medium	1890	John Edwards	Intern
19950	Smith, Francis and Nelson Project	5.0	NaN	3.0	5.0	4.0	NaN	NaN	1.0	NaN	2022-07-03	2022-07-09	1890	FullStack	['Backend']	7	7	7	9	5	7	9	51	Smith, Francis and Nelson Project	Telecommunications	Medium	1890	John Edwards	Intern
19951	Smith, Francis and Nelson Project	5.0	2.0	3.0	3.0	4.0	NaN	4.0	1.0	NaN	2022-05-22	2022-05-28	1890	FullStack	['Backend']	7	7	7	9	5	7	9	51	Smith, Francis and Nelson Project	Telecommunications	Medium	1890	John Edwards	Intern
19952	Smith, Francis and Nelson Project	NaN	4.0	3.0	4.0	4.0	NaN	NaN	2.0	NaN	2024-02-11	2024-02-17	1890	FullStack	['Backend']	7	7	7	9	5	7	9	51	Smith, Francis and Nelson Project	Telecommunications	Medium	1890	John Edwards	Intern
19953	Smith, Francis and Nelson Project	4.0	4.0	2.0	NaN	NaN	3.0	5.0	NaN	NaN	2024-02-11	2024-02-17	1890	FullStack	['Backend']	7	7	7	9	5	7	9	51	Smith, Francis and Nelson Project	Telecommunications	Medium	1890	John Edwards	Intern
19954	Smith, Francis and Nelson Project	2.0	3.0	NaN	4.0	NaN	2.0	3.0	5.0	NaN	2022-07-03	2022-07-09	1890	FullStack	['Backend']	7	7	7	9	5	7	9	51	Smith, Francis and Nelson Project	Telecommunications	Medium	1890	John Edwards	Intern

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values